Education Extroverted Nerd
Master’s in Business Analytics & Financial Technology
Sains Malaysia University (March 2023 – Jul 2024)
My graduation research, a Cryptocurrency Price Predictor, combines technical analysis with on-chain data extraction for machine learning comparative analysis.
This Ethereum-focused project utilized Web3 technologies, deep learning with LSTM, and predictive models like ARIMA and XGBoost. By leveraging TensorFlow, PyTorch,
and Infura, I developed a solution that bridges blockchain data with advanced forecasting techniques, showcasing my ability to integrate innovative methodologies for
solving complex financial problems.
This Master’s program has equipped me with advanced expertise in data analytics, financial forecasting, and blockchain technologies. With a focus on tools like SQL, Python,
SPSS Modeler, and RapidMiner, I have gained practical knowledge in supervised learning (KNN, SVM, Decision Trees) and unsupervised learning (K-Means, Hierarchical
Clustering). Additionally, I have delved into big data processing with PySpark and explored innovative areas like NLP, sentiment analysis, and RegTech for auditing.
My coursework emphasized using data-driven techniques to derive actionable insights, preparing me for the dynamic challenges of modern financial technologies.
Bachelor’s in Computer Science & Artificial Intelligence
Helwan University (September 2017 – June 2021)
For my graduation project, I designed a mobile application that identifies hair and skin types,
along with common skin issues, using computer vision and transfer learning. The app provides personalized routine recommendations based on the
analysis, achieving a remarkable 96/100 grade and recognition as one of the top projects at both the university and Cairo-wide levels.
This project demonstrated my ability to create AI-driven solutions that directly address user needs, blending technical expertise with
impactful outcomes.
During my undergraduate studies, I developed a strong foundation in AI, machine learning, and computer vision. My coursework included deep learning,
Flutter, Dart, and Python, along with tools like TensorFlow and Keras for advanced modeling. My academic experience emphasized combining technical depth
with practical applications, preparing me to tackle real-world challenges in software engineering and AI development.